Online courses directory (2511)

The aim of this subject is to acquaint the student with some important works of systematic ethical philosophy and to bring to bear the viewpoint of those works on the study of classic works of literature. This subject will trace the history of ethical speculation in systematic philosophy by identifying four major positions: two from the ancient world and the two most important traditions of ethical philosophy since the renaissance. The two ancient positions will be represented by Plato and Aristotle, the two modern positions by Immanuel Kant and John Stuart Mill. We will try to understand these four positions as engaged in a rivalry with one another, and we will also engage with the philosophy of Thomas Hobbes, which offers a bridge between ancient and modern conceptions and provides a source for the rivalry between the viewpoints of Kant and Mill. Further, we will be mindful that the modern positions are subject to criticism today by new currents of philosophical speculation, some of which argue for a return to the positions of Plato and Aristotle.

Our subject is the ethics of leadership, an examination of the principles appealed to by executive authority when questions arise about its sources and its legitimacy. Most treatments of this subject resort to case-studies in order to illustrate the application of ethical principles to business situations, but our primary emphasis will be upon classic works of imaginative literature, which convey more directly than case-studies the ethical pressures of decision-making. Readings will include works by Shakespeare, Sophocles, Shaw, E.M. Forster, Joseph Conrad, George Orwell, Fyodor Dostoyevsky, and Henrik Ibsen, among others. Topics to be discussed include the sources of authority, the management of consensus, the ideal of vocation, the ethics of deception, the morality of expediency, the requirements of hierarchy, the virtues and vices of loyalty, the relevance of ethical principles in extreme situations.

In this course we will cover central aspects of modern formal logic, beginning with an explanation of what constitutes good reasoning. Topics will include validity and soundness of arguments, formal derivations, truth-functions, translations to and from a formal language, and truth-tables. We will thoroughly cover sentential calculus and predicate logic, including soundness and completeness results.

This course begins with an introduction to the theory of computability, then proceeds to a detailed study of its most illustrious result: Kurt Gödel's theorem that, for any system of true arithmetical statements we might propose as an axiomatic basis for proving truths of arithmetic, there will be some arithmetical statements that we can recognize as true even though they don't follow from the system of axioms. In my opinion, which is widely shared, this is the most important single result in the entire history of logic, important not only on its own right but for the many applications of the technique by which it's proved. We'll discuss some of these applications, among them: Church's theorem that there is no algorithm for deciding when a formula is valid in the predicate calculus; Tarski's theorem that the set of true sentence of a language isn't definable within that language; and Gödel's second incompleteness theorem, which says that no consistent system of axioms can prove its own consistency.

The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required.

This subject is a survey of the fundamental analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. We place a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra and inter-company logistics operations.

While our main objective is to develop and use models to help us analyze these situations, we will make heavy use of examples from industry to provide illustrations of the concepts in practice. This is neither a purely theoretical nor a case study course, but rather an analytical course that addresses real problems found in practice.

6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work. The underlying theme in the course is statistical inference as it provides the foundation for most of the methods covered.

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.

15.015 Macro and International Economics focuses on the policy and economic environment of firms. This subject divided in three parts. The first part of the course is a study of the closed economy and how monetary and fiscal policy interacts with employment, GNP, inflation, and interest rates. Next, the course provides an examination of national economic strategies for development and growth and recent financial and currency crises in emerging markets. Finally, the course addresses the problems faced by transition economies and the role of institutions both as the engine of growth, and as the constraints for policy.

This course covers issues in the theory of consumption, investment and asset prices. We lay out the basic models first, and then examine the empirical facts that motivate extensions to these models.

This course presents a challenging multi-dimensional perspective on the causes of human disease and mortality. The course focuses on analyses of major causes of mortality in the US since 1900: cancer, cardiovascular and cerebrovascular diseases, diabetes, and infectious diseases. Students create analytical models to derive estimates for historically variant population risk factors and physiological rate parameters, and conduct analyses of familial data to separately estimate inherited and environmental risks. The course evaluates the basic population genetics of dominant, recessive and non-deleterious inherited risk factors.

This course begins with a comparative review of conventional and advanced multiple attribute decision making (MADM) models in engineering practice. Next, a new application of particular MADM models in reliable material selection of sensitive structural components as well as a multi-criteria Taguchi optimization method is discussed. Other specific topics include dealing with uncertainties in material properties, incommensurability in decision-makers opinions for the same design, objective ways of weighting performance indices, rank stability analysis, compensations and non-compensations.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Spiritual, magical, and "occult" aspects of human behavior in anthropological and historical perspective: magic, ritual curing, trance, spirit possession, sorcery, and accusations of witchcraft. Material drawn from traditional nonwestern societies, medieval and early modern Europe, and colonial and contemporary North America.

This course will cover the following topics:

• Magnetostatics
• Origin of magnetism in materials
• Magnetic domains and domain walls
• Magnetic anisotropy
• Reversible and irreversible magnetization processes
• Hard and soft magnetic materials
• Magnetic recording

Special topics include magnetism of thin films, surfaces and fine particles; transport in ferromagnets, magnetoresistive sensors, and amorphous magnetic materials.

This course is an introduction to basic NMR theory. Examples of biochemical data obtained using NMR are summarized along with other related experiments. Students participate in detailed study of NMR imaging techniques, including discussions of basic cross-sectional image reconstruction, image contrast, flow and real-time imaging, and hardware design considerations. Exposure to laboratory NMR spectroscopic and imaging equipment is included.

This seminar provides intensive study of exciting texts by four influential American authors. In studying paired works, we can enrich our sense of each author's distinctive methods, get a deeper sense of the development of their careers, and shake up our preconceptions about what makes an author or a work "great." Students will get an opportunity to research an author in depth, as well as making broader comparisons across the syllabus.